{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "car-classifier--data",
      "version": "0.3.2",
      "provenance": [],
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/gdoteof/neuralnet_stuff/blob/master/car_classifier_data.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "metadata": {
        "id": "mt9ebzNigC41",
        "colab_type": "text"
      },
      "cell_type": "markdown",
      "source": [
        "### Set up colab to use fastai\n",
        "\n",
        "---\n",
        "\n"
      ]
    },
    {
      "metadata": {
        "id": "bgC6qTtHf-kB",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1640
        },
        "outputId": "2e0bac0e-0d7b-4399-9044-dd81ab871346"
      },
      "cell_type": "code",
      "source": [
        "  !curl https://course-v3.fast.ai/setup/colab | bash"
      ],
      "execution_count": 1,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "  % Total    % Received % Xferd  Average Speed   Time    Time     Time  Current\n",
            "                                 Dload  Upload   Total   Spent    Left  Speed\n",
            "\r  0     0    0     0    0     0      0      0 --:--:-- --:--:-- --:--:--     0\r100   665  100   665    0     0   3275      0 --:--:-- --:--:-- --:--:--  3275\n",
            "Collecting pillow==4.1.1\n",
            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/36/e5/88b3d60924a3f8476fa74ec086f5fbaba56dd6cee0d82845f883b6b6dd18/Pillow-4.1.1-cp36-cp36m-manylinux1_x86_64.whl (5.7MB)\n",
            "\u001b[K    100% |████████████████████████████████| 5.7MB 1.9MB/s \n",
            "\u001b[?25hRequirement already satisfied, skipping upgrade: olefile in /usr/local/lib/python3.6/dist-packages (from pillow==4.1.1) (0.46)\n",
            "Installing collected packages: pillow\n",
            "  Found existing installation: Pillow 4.0.0\n",
            "    Uninstalling Pillow-4.0.0:\n",
            "      Successfully uninstalled Pillow-4.0.0\n",
            "Successfully installed pillow-4.1.1\n",
            "Looking in links: https://download.pytorch.org/whl/nightly/cu92/torch_nightly.html\n",
            "Collecting torch_nightly\n",
            "\u001b[?25l  Downloading https://download.pytorch.org/whl/nightly/cu92/torch_nightly-1.0.0.dev20181206-cp36-cp36m-linux_x86_64.whl (576.2MB)\n",
            "\u001b[K    100% |████████████████████████████████| 576.2MB 20kB/s \n",
            "tcmalloc: large alloc 1073750016 bytes == 0x62186000 @  0x7fbd3d8ac2a4 0x591a07 0x5b5d56 0x502e9a 0x506859 0x502209 0x502f3d 0x506859 0x504c28 0x502540 0x502f3d 0x506859 0x504c28 0x502540 0x502f3d 0x506859 0x504c28 0x502540 0x502f3d 0x507641 0x502209 0x502f3d 0x506859 0x504c28 0x502540 0x502f3d 0x507641 0x504c28 0x502540 0x502f3d 0x507641\n",
            "\u001b[?25hInstalling collected packages: torch-nightly\n",
            "Successfully installed torch-nightly-1.0.0.dev20181206\n",
            "Cloning into 'course-v3'...\n",
            "remote: Enumerating objects: 2583, done.\u001b[K\n",
            "remote: Total 2583 (delta 0), reused 0 (delta 0), pack-reused 2583\u001b[K\n",
            "Receiving objects: 100% (2583/2583), 74.87 MiB | 33.05 MiB/s, done.\n",
            "Resolving deltas: 100% (1406/1406), done.\n",
            "Collecting fastai\n",
            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/78/7c/67ada54ff19f296af81c3bba65ac519c0564b176d867c3903b5ad605a233/fastai-1.0.34-py3-none-any.whl (139kB)\n",
            "\u001b[K    100% |████████████████████████████████| 143kB 4.4MB/s \n",
            "\u001b[?25hRequirement already satisfied, skipping upgrade: cymem==2.0.2 in /usr/local/lib/python3.6/dist-packages (from fastai) (2.0.2)\n",
            "Collecting torchvision-nightly (from fastai)\n",
            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/ca/bd/d0f9a33c81c79710eb7ee428b66869b49a8be16c7f1e446c211a7fbfb7be/torchvision_nightly-0.2.1-py2.py3-none-any.whl (54kB)\n",
            "\u001b[K    100% |████████████████████████████████| 61kB 5.4MB/s \n",
            "\u001b[?25hRequirement already satisfied, skipping upgrade: scipy in /usr/local/lib/python3.6/dist-packages (from fastai) (1.1.0)\n",
            "Requirement already satisfied, skipping upgrade: pandas in /usr/local/lib/python3.6/dist-packages (from fastai) (0.22.0)\n",
            "Collecting fastprogress>=0.1.18 (from fastai)\n",
            "  Downloading https://files.pythonhosted.org/packages/78/57/24a5e20f4a357f7f1c90dd5250071951c832b2480fd4fefd7be48edf4180/fastprogress-0.1.18-py3-none-any.whl\n",
            "Requirement already satisfied, skipping upgrade: pyyaml in /usr/local/lib/python3.6/dist-packages (from fastai) (3.13)\n",
            "Requirement already satisfied, skipping upgrade: numpy>=1.12 in /usr/local/lib/python3.6/dist-packages (from fastai) (1.14.6)\n",
            "Collecting bottleneck (from fastai)\n",
            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/05/ae/cedf5323f398ab4e4ff92d6c431a3e1c6a186f9b41ab3e8258dff786a290/Bottleneck-1.2.1.tar.gz (105kB)\n",
            "\u001b[K    100% |████████████████████████████████| 112kB 4.9MB/s \n",
            "\u001b[?25hRequirement already satisfied, skipping upgrade: requests in /usr/local/lib/python3.6/dist-packages (from fastai) (2.18.4)\n",
            "Collecting thinc==6.12.0 (from fastai)\n",
            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/1f/18/e320bfc57c20df39cc5ffa1915c7b5402a9038f290ddd85b5b72689bd57a/thinc-6.12.0-cp36-cp36m-manylinux1_x86_64.whl (1.9MB)\n",
            "\u001b[K    100% |████████████████████████████████| 1.9MB 6.6MB/s \n",
            "\u001b[?25hCollecting dataclasses; python_version < \"3.7\" (from fastai)\n",
            "  Downloading https://files.pythonhosted.org/packages/26/2f/1095cdc2868052dd1e64520f7c0d5c8c550ad297e944e641dbf1ffbb9a5d/dataclasses-0.6-py3-none-any.whl\n",
            "Collecting numexpr (from fastai)\n",
            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/db/ea/efd9e16283637eb5b6c0042b6cc3521f1b9a5b47767ac463c88bbd37670c/numexpr-2.6.8-cp36-cp36m-manylinux1_x86_64.whl (162kB)\n",
            "\u001b[K    100% |████████████████████████████████| 163kB 9.8MB/s \n",
            "\u001b[?25hRequirement already satisfied, skipping upgrade: Pillow in /usr/local/lib/python3.6/dist-packages (from fastai) (4.1.1)\n",
            "Requirement already satisfied, skipping upgrade: regex in /usr/local/lib/python3.6/dist-packages (from fastai) (2018.1.10)\n",
            "Requirement already satisfied, skipping upgrade: typing in /usr/local/lib/python3.6/dist-packages (from fastai) (3.6.6)\n",
            "Collecting spacy==2.0.16 (from fastai)\n",
            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/ed/39/288640f591b29aac6996c97ddfafc3262ae0be7513e06bc560921b112d7c/spacy-2.0.16-cp36-cp36m-manylinux1_x86_64.whl (23.3MB)\n",
            "\u001b[K    100% |████████████████████████████████| 23.3MB 1.7MB/s \n",
            "\u001b[?25hRequirement already satisfied, skipping upgrade: matplotlib in /usr/local/lib/python3.6/dist-packages (from fastai) (2.1.2)\n",
            "Requirement already satisfied, skipping upgrade: tqdm in /usr/local/lib/python3.6/dist-packages (from torchvision-nightly->fastai) (4.28.1)\n",
            "Requirement already satisfied, skipping upgrade: six in /usr/local/lib/python3.6/dist-packages (from torchvision-nightly->fastai) (1.11.0)\n",
            "Requirement already satisfied, skipping upgrade: python-dateutil>=2 in /usr/local/lib/python3.6/dist-packages (from pandas->fastai) (2.5.3)\n",
            "Requirement already satisfied, skipping upgrade: pytz>=2011k in /usr/local/lib/python3.6/dist-packages (from pandas->fastai) (2018.7)\n",
            "Requirement already satisfied, skipping upgrade: certifi>=2017.4.17 in /usr/local/lib/python3.6/dist-packages (from requests->fastai) (2018.11.29)\n",
            "Requirement already satisfied, skipping upgrade: idna<2.7,>=2.5 in /usr/local/lib/python3.6/dist-packages (from requests->fastai) (2.6)\n",
            "Requirement already satisfied, skipping upgrade: chardet<3.1.0,>=3.0.2 in /usr/local/lib/python3.6/dist-packages (from requests->fastai) (3.0.4)\n",
            "Requirement already satisfied, skipping upgrade: urllib3<1.23,>=1.21.1 in /usr/local/lib/python3.6/dist-packages (from requests->fastai) (1.22)\n",
            "Requirement already satisfied, skipping upgrade: plac<1.0.0,>=0.9.6 in /usr/local/lib/python3.6/dist-packages (from thinc==6.12.0->fastai) (0.9.6)\n",
            "Requirement already satisfied, skipping upgrade: msgpack<1.0.0,>=0.5.6 in /usr/local/lib/python3.6/dist-packages (from thinc==6.12.0->fastai) (0.5.6)\n",
            "Requirement already satisfied, skipping upgrade: wrapt<1.11.0,>=1.10.0 in /usr/local/lib/python3.6/dist-packages (from thinc==6.12.0->fastai) (1.10.11)\n",
            "Requirement already satisfied, skipping upgrade: cytoolz<0.10,>=0.9.0 in /usr/local/lib/python3.6/dist-packages (from thinc==6.12.0->fastai) (0.9.0.1)\n",
            "Requirement already satisfied, skipping upgrade: preshed<3.0.0,>=2.0.1 in /usr/local/lib/python3.6/dist-packages (from thinc==6.12.0->fastai) (2.0.1)\n",
            "Requirement already satisfied, skipping upgrade: msgpack-numpy<0.4.4.0 in /usr/local/lib/python3.6/dist-packages (from thinc==6.12.0->fastai) (0.4.3.2)\n",
            "Requirement already satisfied, skipping upgrade: dill<0.3.0,>=0.2.7 in /usr/local/lib/python3.6/dist-packages (from thinc==6.12.0->fastai) (0.2.8.2)\n",
            "Requirement already satisfied, skipping upgrade: murmurhash<1.1.0,>=0.28.0 in /usr/local/lib/python3.6/dist-packages (from thinc==6.12.0->fastai) (1.0.1)\n",
            "Requirement already satisfied, skipping upgrade: olefile in /usr/local/lib/python3.6/dist-packages (from Pillow->fastai) (0.46)\n",
            "Requirement already satisfied, skipping upgrade: ujson>=1.35 in /usr/local/lib/python3.6/dist-packages (from spacy==2.0.16->fastai) (1.35)\n",
            "Requirement already satisfied, skipping upgrade: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.1 in /usr/local/lib/python3.6/dist-packages (from matplotlib->fastai) (2.3.0)\n",
            "Requirement already satisfied, skipping upgrade: cycler>=0.10 in /usr/local/lib/python3.6/dist-packages (from matplotlib->fastai) (0.10.0)\n",
            "Requirement already satisfied, skipping upgrade: toolz>=0.8.0 in /usr/local/lib/python3.6/dist-packages (from cytoolz<0.10,>=0.9.0->thinc==6.12.0->fastai) (0.9.0)\n",
            "Building wheels for collected packages: bottleneck\n",
            "  Running setup.py bdist_wheel for bottleneck ... \u001b[?25l-\b \b\\\b \b|\b \b/\b \b-\b \b\\\b \b|\b \b/\b \bdone\n",
            "\u001b[?25h  Stored in directory: /root/.cache/pip/wheels/f2/bf/ec/e0f39aa27001525ad455139ee57ec7d0776fe074dfd78c97e4\n",
            "Successfully built bottleneck\n",
            "\u001b[31mspacy 2.0.16 has requirement numpy>=1.15.0, but you'll have numpy 1.14.6 which is incompatible.\u001b[0m\n",
            "Installing collected packages: torchvision-nightly, fastprogress, bottleneck, thinc, dataclasses, numexpr, spacy, fastai\n",
            "  Found existing installation: thinc 6.12.1\n",
            "    Uninstalling thinc-6.12.1:\n",
            "      Successfully uninstalled thinc-6.12.1\n",
            "  Found existing installation: spacy 2.0.18\n",
            "    Uninstalling spacy-2.0.18:\n",
            "      Successfully uninstalled spacy-2.0.18\n",
            "Successfully installed bottleneck-1.2.1 dataclasses-0.6 fastai-1.0.34 fastprogress-0.1.18 numexpr-2.6.8 spacy-2.0.16 thinc-6.12.0 torchvision-nightly-0.2.1\n",
            "Already up to date.\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "metadata": {
        "id": "UOOnV3NvhIJB",
        "colab_type": "text"
      },
      "cell_type": "markdown",
      "source": [
        "Mount our google drive.  (this is convenient when internet is slow, and avoids needing to upload again and again)"
      ]
    },
    {
      "metadata": {
        "id": "U0AmgWRigCWU",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 125
        },
        "outputId": "65784ee5-b986-4a68-c563-64ec4c3b7b6b"
      },
      "cell_type": "code",
      "source": [
        "from google.colab import drive\n",
        "drive.mount('/content/drive')"
      ],
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Go to this URL in a browser: https://accounts.google.com/o/oauth2/auth?client_id=947318989803-6bn6qk8qdgf4n4g3pfee6491hc0brc4i.apps.googleusercontent.com&redirect_uri=urn%3Aietf%3Awg%3Aoauth%3A2.0%3Aoob&scope=email%20https%3A%2F%2Fwww.googleapis.com%2Fauth%2Fdocs.test%20https%3A%2F%2Fwww.googleapis.com%2Fauth%2Fdrive%20https%3A%2F%2Fwww.googleapis.com%2Fauth%2Fdrive.photos.readonly%20https%3A%2F%2Fwww.googleapis.com%2Fauth%2Fpeopleapi.readonly&response_type=code\n",
            "\n",
            "Enter your authorization code:\n",
            "··········\n",
            "Mounted at /content/drive\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "metadata": {
        "id": "MVA0Ki-dhVb_",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 70
        },
        "outputId": "ea23ed89-d284-429e-b420-a9629bcb6407"
      },
      "cell_type": "code",
      "source": [
        "BASE='/content/drive/My Drive/ai/'\n",
        "!ls \"{BASE}\""
      ],
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "first_pass_joke.pth  models\t\t\t   rjokes_finetunes.pth\n",
            "joke_lm\t\t     reddit_jokes.csv\t\t   rjokes.itos.pkl\n",
            "jokeout\t\t     rjokes_finetuned_encoder.pth\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "metadata": {
        "id": "sPbdGAQHhhr1",
        "colab_type": "code",
        "colab": {}
      },
      "cell_type": "code",
      "source": [
        "!mkdir -p \"/content/drive/My Drive/ai/cars\""
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "metadata": {
        "id": "kGIgNugOh0Jr",
        "colab_type": "code",
        "colab": {}
      },
      "cell_type": "code",
      "source": [
        "BASE='/content/drive/My Drive/ai/cars/'"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "metadata": {
        "id": "NOAnAVSIh3e1",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 211
        },
        "outputId": "d75766e8-80a2-4ee3-8219-6cfaba53a7b5"
      },
      "cell_type": "code",
      "source": [
        "!wget -c http://imagenet.stanford.edu/internal/car196/cars_train.tgz -O \"{ BASE + cars_train.tgz }\""
      ],
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "--2018-12-06 22:00:43--  http://imagenet.stanford.edu/internal/car196/cars_train.tgz\n",
            "Resolving imagenet.stanford.edu (imagenet.stanford.edu)... 171.64.68.16\n",
            "Connecting to imagenet.stanford.edu (imagenet.stanford.edu)|171.64.68.16|:80... connected.\n",
            "HTTP request sent, awaiting response... 200 OK\n",
            "Length: 979269282 (934M) [application/x-gzip]\n",
            "Saving to: ‘{ BASE + cars_train.tgz }’\n",
            "\n",
            "{ BASE + cars_train 100%[===================>] 933.90M  8.72MB/s    in 93s     \n",
            "\n",
            "2018-12-06 22:02:16 (10.0 MB/s) - ‘{ BASE + cars_train.tgz }’ saved [979269282/979269282]\n",
            "\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "metadata": {
        "id": "2_-E89PjiYYw",
        "colab_type": "code",
        "colab": {}
      },
      "cell_type": "code",
      "source": [
        "!mv {\\ BASE\\ +\\ cars_train.tgz\\ \\} \"{BASE}\" "
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "metadata": {
        "id": "vVsgG1Ici6Ut",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "5e79b038-3e18-4e04-cf24-7e50b0da5c04"
      },
      "cell_type": "code",
      "source": [
        "c = \"{BASE}\"\n",
        "!mv \"/content/drive/My Drive/cars/ai/{c}\" /content/drive/My\\ Drive/cars/ai/cartrain.tgz"
      ],
      "execution_count": 28,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "mv: cannot stat '/content/drive/My Drive/cars/ai/{BASE}': No such file or directory\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "metadata": {
        "id": "TiEwddUzi835",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "184f0b60-dab1-4262-d562-320ecf86a880"
      },
      "cell_type": "code",
      "source": [
        "!ls \"/content/drive/My Drive/ai/cars\""
      ],
      "execution_count": 34,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "cartrain.tgz\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "metadata": {
        "id": "pw54K6rPi_li",
        "colab_type": "code",
        "colab": {}
      },
      "cell_type": "code",
      "source": [
        "!mv {BASE\\} /content/drive/My\\ Drive/ai/cars"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "metadata": {
        "id": "Zg1-xn8JjLLL",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 143480
        },
        "outputId": "0083fca4-7026-4598-a6ac-981fa2856e21"
      },
      "cell_type": "code",
      "source": [
        "!tar xfzv /content/drive/My\\ Drive/ai/cars/train/cartrain.tgz"
      ],
      "execution_count": 35,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "cars_train/\n",
            "cars_train/00001.jpg\n",
            "cars_train/00002.jpg\n",
            "cars_train/00003.jpg\n",
            "cars_train/00004.jpg\n",
            "cars_train/00005.jpg\n",
            "cars_train/00006.jpg\n",
            "cars_train/00007.jpg\n",
            "cars_train/00008.jpg\n",
            "cars_train/00009.jpg\n",
            "cars_train/00010.jpg\n",
            "cars_train/00011.jpg\n",
            "cars_train/00012.jpg\n",
            "cars_train/00013.jpg\n",
            "cars_train/00014.jpg\n",
            "cars_train/00015.jpg\n",
            "cars_train/00016.jpg\n",
            "cars_train/00017.jpg\n",
            "cars_train/00018.jpg\n",
            "cars_train/00019.jpg\n",
            "cars_train/00020.jpg\n",
            "cars_train/00021.jpg\n",
            "cars_train/00022.jpg\n",
            "cars_train/00023.jpg\n",
            "cars_train/00024.jpg\n",
            "cars_train/00025.jpg\n",
            "cars_train/00026.jpg\n",
            "cars_train/00027.jpg\n",
            "cars_train/00028.jpg\n",
            "cars_train/00029.jpg\n",
            "cars_train/00030.jpg\n",
            "cars_train/00031.jpg\n",
            "cars_train/00032.jpg\n",
            "cars_train/00033.jpg\n",
            "cars_train/00034.jpg\n",
            "cars_train/00035.jpg\n",
            "cars_train/00036.jpg\n",
            "cars_train/00037.jpg\n",
            "cars_train/00038.jpg\n",
            "cars_train/00039.jpg\n",
            "cars_train/00040.jpg\n",
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      "source": [
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      "execution_count": 0,
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}